Arijit Panda
Impact in
-
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
-
- Genomics and Phylogenetic Studies 6
- CRISPR and Genetic Engineering 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Alexej S. Abyzov (5 shared papers)Ian H Holmes (1 shared paper)Colin M. Diesh (1 shared paper)Milovan Šuvakov (4 shared papers)Sucheta Tripathy (10 shared papers)Mathu Malar C (4 shared papers)Takao Kasuga (2 shared papers)Jennifer David Yuzon (2 shared papers)
- Journals
- Frontiers in Microbiology (2 papers)Science (2 papers)Molecular Plant-Microbe Interactions (2 papers)Neuro-Oncology (1 paper)Bioinformatics (1 paper)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Arijit Panda
19 papers receiving 330 citations
Peers
Comparison fields: 5 of 74
- Developmental Neuroscience 13
- Genetics 72
- Aging 4
- Molecular Biology 152
- Cell Biology 36
Countries citing papers authored by Arijit Panda
This map shows the geographic impact of Arijit Panda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arijit Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Panda more than expected).
Fields of papers citing papers by Arijit Panda
This network shows the impact of papers produced by Arijit Panda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arijit Panda. The network helps show where Arijit Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Arijit Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 2023 | 51 | |
| 3 | 2022 | 49 | |
| 4 | 2022 | 44 | |
| 5 | 2018 | 20 | |
| 6 | 2019 | 15 | |
| 7 | 2017 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 2016 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2026 | 0 |
About Arijit Panda
Arijit Panda is a scholar working on Molecular Biology, Genetics, Plant Science, Nuclear and High Energy Physics and Cell Biology, having authored 20 papers that have together received 331 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Plant Pathogens and Resistance (5 papers), Plant Disease Resistance and Genetics (4 papers), Genomic variations and chromosomal abnormalities (3 papers), CRISPR and Genetic Engineering (2 papers), Black Holes and Theoretical Physics (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Developmental Neuroscience (13 citations), Genetics (72 citations), Aging (4 citations), Molecular Biology (152 citations) and Cell Biology (36 citations). Arijit Panda has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Alexej S. Abyzov, Ian H Holmes, Colin M. Diesh, Milovan Šuvakov, Sucheta Tripathy, Mathu Malar C, Takao Kasuga, Jennifer David Yuzon, Brett M. Tyler and Laura J. Grenville‐Briggs. Their work appears in journals such as Frontiers in Microbiology, Science, Molecular Plant-Microbe Interactions, Neuro-Oncology and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.